A neuro-fuzzy approach for predicting hemodynamic responses during anesthesia

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorAmorim, Pedro-
Data de aceite: dc.date.accessioned2025-08-22T11:49:39Z-
Data de disponibilização: dc.date.available2025-08-22T11:49:39Z-
Data de envio: dc.date.issued2023-05-31-
Data de envio: dc.date.issued2023-05-31-
Data de envio: dc.date.issued2008-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/13933-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/13933-
Descrição: dc.descriptionThe effect of drugs’ interaction on the hemodynamic variables is of great importance when considering patient’s safety and stability. It is also important for control infusion systems during anesthesia. In this article, an adaptivenetwork fuzzy inference system is used to model the effect of two drugs (propofol and remifentanil) on the mean arterial pressure and heart rate. The clinical data of 45 patients is used to train and test the model. The use of subtractive clustering improved the model performance on the testing data set. The fuzzy model is able to capture the synergistic interaction between the two drugs, but other influences were detected.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languagept_BR-
Publicador: dc.publisherIEEE-
Título: dc.titleA neuro-fuzzy approach for predicting hemodynamic responses during anesthesia-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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